code: def setUp(self):
      feature_extractor_map = {
          "do_resize": True,
          "size": 224,
          "apply_ocr": True,
      }
  
      self.tmpdirname = tempfile.mkdtemp()
      self.feature_extraction_file = os.path.join(
          self.tmpdirname, FEATURE_EXTRACTOR_NAME
      )
      with open(
          self.feature_extraction_file, "w", encoding="utf-8"
      ) as fp:
          fp.write(json.dumps(feature_extractor_map) + "\n")
  
      # taken from `test_tokenization_layoutxlm.LayoutXLMTokenizationTest.test_save_pretrained`
      self.tokenizer_pretrained_name = (
          "hf-internal-testing/tiny-random-layoutxlm"
      )
  
imports: import json
  import os
  import shutil
  import tempfile
  import unittest
  from typing import List
  from transformers import PreTrainedTokenizer, PreTrainedTokenizerBase, PreTrainedTokenizerFast
  from transformers.models.layoutxlm import LayoutXLMTokenizer, LayoutXLMTokenizerFast
  from transformers.testing_utils import require_pytesseract, require_sentencepiece, require_tokenizers, require_torch, slow
  from transformers.utils import FEATURE_EXTRACTOR_NAME, cached_property, is_pytesseract_available
label_desc: Use image node_id 1 for calling the LayoutXLMProcessorTest obj's underlying member method code with example usage: obj.setUp() without return types